Autonomy - Computer Vision Engineer

Neros Technologies; Torrance (CA); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Competitive equity grants

Job summary

Pow.bio in Torrance, California, is seeking an Autonomy Computer Vision Engineer to develop and implement advanced computer vision algorithms for their drone systems. This role requires developing real-time algorithms, collaborating with robotics and software engineers, and optimizing performance for various environments. Ideal candidates will have over 3 years of experience in related fields, strong programming skills in Python and C++, and knowledge of computer vision tools. Competitive salary ranging from $150,000 to $200,000 USD is offered, along with equity grants.

Qualifications

• 3+ years of experience in computer vision, robotics, or related fields.
• Proven experience in developing algorithms for real-time systems.
• Strong proficiency in programming languages such as Python and C++.
• Expertise in computer vision libraries like OpenCV, TensorFlow, PyTorch.
• Experience with SLAM, object detection, and image segmentation techniques.
• Familiarity with UAVs and drone systems.
• Knowledge of real-time system constraints.
• Proficiency in debugging, testing, and validating algorithms.

Responsibilities

• Develop and implement cutting-edge computer vision algorithms for drones.
• Design, test, and optimize algorithms for real-time operation.
• Collaborate with cross-functional teams to integrate vision-based solutions.

Skills

Computer vision

Robotics

Python

C++

OpenCV

TensorFlow

SLAM techniques

Object detection

Image segmentation

Job description

Who we are

Neros is a defense technology company rebuilding America’s drone industrial base. We design and manufacture high-performance unmanned systems that are tested in combat, iterated at startup speed, and built at massive scale. Our team culture is fast, hands-on, and obsessed with closing the gap between design and deployment.

As drones transform the character of warfare, Neros is delivering the systems the West needs to compete on the modern battlefield and deter the adversaries of democracy. We’re hiring engineers, operators, and builders who want to move fast, take on extreme ownership, and get capability into the hands of warfighters in months, not years.

What you will be doing

The Autonomy Computer Vision Engineer will be responsible for developing and implementing cutting-edge computer vision algorithms to be deployed onboard Neros drones. This role involves designing, testing, and optimizing algorithms for real-time operation in autonomous systems, ensuring high performance and reliability in diverse environments. The candidate will collaborate closely with cross-functional teams, including robotics engineers, software developers, and hardware engineers, to integrate vision-based solutions into autonomous drone platforms.

You should have the following

• 3+ years of experience in computer vision, robotics, or related fields
• Proven experience in developing algorithms for real-time systems, preferably for autonomous platforms
• Strong proficiency in programming languages such as Python and C++
• Expertise in computer vision libraries and tools like OpenCV, TensorFlow, PyTorch, or similar
• Experience with SLAM, object detection, and image segmentation techniques
• Familiarity with UAVs and drone systems
• Knowledge of real-time system constraints
• Proficiency in debugging, testing, and validating algorithms in simulation and real-world environments

US Salary Range

$150,000 - $200,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are considered part of Neros' total compensation package.

We’re an equal opportunity employer. We welcome all applicants without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.